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NVIDIA

Designs GPUs and AI HPC platforms

GPU Verification Engineer – New College Grad 2026

Full-Time
$100k - $189.8k/yr+ Equity
Entry
Bachelor's
Westford, MA, USA
In Person
Company Historically Provides H1B Sponsorship

About the job

Requirements
  • A Bachelor's Degree (or equivalent experience) in Electrical Engineering, Computer Engineering or Computer Science
  • Experience with C/C++ and automate/write scripts in Perl/Python/shell
  • Your work displays a passion for debugging and highlights your strong problem solving abilities
  • Background in computer architecture and memory models is needed
  • Strong communication and interpersonal skills are required along with the ability to operate in a dynamic and distributed team
  • Exposure to design and verification tools (VCS, emulation, FPGA, debug tools) is a plus
Responsibilities
  • As a member of the GPU verification team, you will be responsible for verifying the ASIC design, architecture and micro-architecture of NVIDIA GPUs and SoCs using sophisticated verification methodologies
  • You are encouraged to understand the design and its implementation, define the verification scope, develop the test plans and coordinate tasks within the GPU verification teams
  • Design and develop test generators that will verify and validate the CPU and GPU interactions, memory coherency and consistency
  • Develop the verification infrastructure using state of the art verification methodologies and tools
  • Collaborate with architects, designers, pre- and post-silicon verification teams to accomplish your tasks
Desired Qualifications
  • Exposure to design and verification tools (VCS, emulation, FPGA, debug tools) is a plus

About the company

NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

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Simplify's Take

What believers are saying

  • OpenAI's GPT-6 Astra Ultrafast runs on Blackwell, validating NVIDIA's inference leadership.
  • September 2026 added a $150 billion buyback, signaling relentless cash generation.
  • Meta's multiyear Blackwell-Rubin partnership expands NVIDIA deployments across cloud and on-premises systems.

What critics are saying

  • DeepSeek-Huawei TileLang targets CUDA, and China's ecosystem split deepens in 2026.
  • NVIDIA guides zero China data-center revenue, leaving geopolitical access permanently broken.
  • FTC liability skepticism and Connecticut enforcement expose NVIDIA customers to agent-related lawsuits.

What makes NVIDIA unique

  • CUDA locks 7.5 million developers into NVIDIA's software stack and tooling moat.
  • Blackwell and Rubin keep NVIDIA first on inference performance and deployment cadence.
  • Networking plus BlueField and NVLink turn chips into full AI infrastructure platforms.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

↑ 0%

1 year growth

↓ -1%

2 year growth

↓ -2%
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